We’re advancing Coral NPU, our blueprint for on-device AI hardware, even further with a new open architecture, compiler tools, and commercial chips.
Some of the most useful AI experiences happen right on the devices around us, from wearables that understand context in real time to smart sensors and robots. But running complex AI drains batteries because traditional chips spend a lot of energy moving data back and forth to compute. Last year, @GoogleResearch introduced Coral NPU to fix this.
Coral NPU now handles all that heavy lifting in a single step, right where the data lives, giving small devices massive brain power while using very little battery.
So, how did we do it?
Right now, making Edge AI work on smartwatches or home robots is a huge headache for developers because every device speaks a different, complicated language. To solve this, we created a blueprint, the Coral NPU open hardware standard. It’s an open design that tells chip makers exactly how to build this chip so it processes AI efficiently without the energy-draining data commute, and the new software acts as the master translator.
Today, we’re taking a major leap forward with these tools by releasing:
— The completed open hardware blueprint and software — Real-world chips and hardware kits We’re teaming up with partners like @SynaCorp to roll out the actual physical chips, meaning the foundation for the next generation of smart, battery-friendly gadgets is just around the corner.
Read the blog to learn more: https://goo.gle/4i1iUEZ